karamkasim Goto Github PK

airbnb-dynamic-pricing-optimization

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

amazon-review-scraping-and-sentiment-analysis

Web Scraping the Amazon reviews and performing sentiment analysis.

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

automorph

Automated Morphometrics: image segmentation, 2D and 3D shape extraction, classification, and analysis

bank-logistic

batch-forecasting--stage-1

Time series forecast for batch ( multiple products)- How code gets scaled from in different stages.

betterlifepsi

Betterlife Intelligent PSI(Purchase, Sales and Inventory) system

budget-optimization-in-ecommerce-using-market-mix-modelling

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:

clv_prediction

Predicting Customer Lifetime Value

compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

cortana-intelligence-inventory-optimization

An Inventory Optimization Solution How-To Guide

cortana-intelligence-price-optimization

Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough

customer-analytics-using-python

An international e-commerce company based in the USA wants to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers. The company sells electronic products.

customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

data-analytics-using-scikit-learn

Data Analytics of E-commerce Customer Datasets Using Scikit-learn

data-science-portfolio

Data Science Portfolio

datascience

Repository to maintain all my clutter

donor-attrition

Predicting which donors will continue or cease to donate to Toronto charity

donor-charity-problem

Predictive Analysis of the Potential Donors to a Charity Organization.

e-commerce-data-analytic

Data Analytic assignment of e commerce sale for a retailer in Uk using python

event-based_vision_resources

featuretools

An open source python library for automated feature engineering

finding_donors

Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree

forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.

Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

fundraising_analytics

The folder for all fundraising analytics projects

heatmapper

Track mouse movements and generate a heat map

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

inventory-forecasting

inventory-prediction